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Lean Metrics in Agile Project Management

Lean Metrics in Agile Project Management

$198.00
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Self-paced • Lifetime updates
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Includes a practical, ready-to-use toolkit containing implementation templates, worksheets, checklists, and decision-support materials used to accelerate real-world application and reduce setup time.
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What does the Lean Metrics in Agile Project Management course cover?

Lean Metrics in Agile Project Management is covered here in 7 modules: Defining Value Streams and Aligning Metrics with Business Outcomes, Measuring Flow Efficiency and Identifying Systemic Delays, Establishing Predictive Metrics for Delivery Reliability and 4 more. The outline lists 42 specific topics, opening with select which customer touchpoints to instrument based on impact to revenue, retention, or support load.

How do you approach Lean Metrics in Agile Project Management step by step?

The work is sequenced in 7 stages. It starts with Defining Value Streams and Aligning Metrics with Business Outcomes, moves through Measuring Flow Efficiency and Identifying Systemic Delays and Establishing Predictive Metrics for Delivery Reliability, and ends at Integrating Lean Metrics into Agile Ceremonies and Continuous Improvement. Each stage carries its own topic list, so the sequence is followed rather than summarised.

What is in Module 1 of the Lean Metrics in Agile Project Management course?

Module 1 is Defining Value Streams and Aligning Metrics with Business Outcomes. It works through select which customer touchpoints to instrument based on impact to revenue, retention, or support load., map cross-functional workflow stages to distinguish value-adding from non-value-adding activities., determine whether to track lead time from request initiation or from backlog refinement based on team scope. and 3 more.

How is the Lean Metrics in Agile Project Management course delivered?

The Lean Metrics in Agile Project Management course is fully self-paced with immediate online access after enrolment. Access does not expire and future updates are included at no cost. It can be taken on any device, and a certificate of completion is issued by The Art of Service when you finish.

How much does the Lean Metrics in Agile Project Management course cost?

The Lean Metrics in Agile Project Management course is $198 as a one time payment. There is no subscription, no per seat licence and no hidden fee. Enrolment carries a 30 day satisfied or refunded guarantee, so it can be assessed in full before you commit.

Closely related courses: Metrics Tracking in Lean Practices in Operations, Metrics Dashboard in Lean Practices in Operations, Performance Metrics in Lean Practices in Operations, LEAN Methodology in Excellence Metrics and Performance.

More answers: what you get with every course, refund policy, all help answers.

This curriculum spans the design and operationalization of Lean metrics across an enterprise Agile transformation, comparable to a multi-quarter internal capability program that integrates flow, quality, and governance metrics into existing delivery workflows and decision forums.

Module 1: Defining Value Streams and Aligning Metrics with Business Outcomes

  • Select which customer touchpoints to instrument based on impact to revenue, retention, or support load.
  • Map cross-functional workflow stages to distinguish value-adding from non-value-adding activities.
  • Determine whether to track lead time from request initiation or from backlog refinement based on team scope.
  • Decide whether to consolidate metrics across product lines or maintain siloed reporting for divisional accountability.
  • Establish thresholds for acceptable cycle time variation by product category and regulatory environment.
  • Implement feedback loops with sales and customer support to validate operational definitions of "done" and "value delivered."

Module 2: Measuring Flow Efficiency and Identifying Systemic Delays

  • Configure time-tracking in Jira to capture wait states between column transitions in Kanban boards.
  • Calculate touch time versus wait time for user stories and identify stages with chronic handoff delays.
  • Decide whether to exclude blocked tickets from cycle time calculations or include them to expose risk exposure.
  • Implement automated detection of aging work items using aging heat maps in portfolio tools.
  • Adjust WIP limits dynamically based on observed throughput and team capacity during sprint planning.
  • Integrate deployment pipeline telemetry with project management tools to correlate code commit frequency with backlog progression.

Module 3: Establishing Predictive Metrics for Delivery Reliability

  • Calibrate Monte Carlo simulations using historical throughput data, excluding outlier sprints due to external dependencies.
  • Define confidence intervals for forecasted delivery dates based on stakeholder risk tolerance and contractual obligations.
  • Decide whether to report forecast ranges using 70% or 95% confidence levels depending on governance requirements.
  • Adjust backlog size assumptions in forecasts when technical debt items are prioritized over feature work.
  • Implement rolling forecast updates triggered by sprint completion or major scope changes.
  • Validate forecast accuracy quarterly by comparing predicted vs. actual delivery dates across product teams.

Module 4: Quantifying and Reducing Work-in-Progress (WIP)

  • Enforce WIP limits at the team and cross-team program level, requiring escalation paths for exceptions.
  • Measure the correlation between WIP levels and defect escape rates across release cycles.
  • Decide whether to allow spikes and bugs to count toward WIP limits or track them separately.
  • Implement visual controls for WIP breaches using red/yellow indicators in dashboards.
  • Conduct root cause analysis when WIP exceeds limits for three consecutive weeks.
  • Negotiate with product owners to defer new requests when WIP thresholds are breached, using data on delivery delays.

Module 5: Tracking Quality and Technical Debt Through Operational Metrics

  • Define defect aging thresholds and assign ownership based on component ownership in version control.
  • Link static code analysis results to Jira tickets to track resolution time for high-severity findings.
  • Measure test coverage trends by module and correlate with post-release incident frequency.
  • Decide whether to include technical debt backlog items in velocity calculations or track them independently.
  • Implement automated tagging of tickets related to refactoring or infrastructure upgrades.
  • Set acceptable thresholds for build failure rates and trigger process reviews when exceeded.

Module 6: Governance and Escalation Using Lean Metrics

  • Define escalation protocols when lead time exceeds SLA for two consecutive quarters.
  • Configure executive dashboards to highlight metrics indicating systemic bottlenecks, not individual performance.
  • Decide whether to publish team-level metrics organization-wide or restrict access to leadership and team leads.
  • Implement audit trails for metric adjustments to prevent manipulation during performance reviews.
  • Align metric review cadence with portfolio governance meetings (e.g., monthly or quarterly).
  • Establish data validation routines to detect and correct misclassified work items in reporting systems.

Module 7: Integrating Lean Metrics into Agile Ceremonies and Continuous Improvement

  • Redesign sprint retrospectives to include analysis of flow efficiency and blockage patterns.
  • Assign action items from metrics reviews to specific owners with deadlines and follow-up tracking.
  • Decide whether to include cycle time trends in sprint review presentations to stakeholders.
  • Implement team-level metric baselines and measure improvement over six-month intervals.
  • Train Scrum Masters to interpret control charts and identify special cause variation in delivery data.
  • Rotate responsibility for metric reporting among team members to build organizational capability.
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